MATLAB ZN PID整定程序

KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现(KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab)

说明：  是ofdm关于matlab仿真方面的文章，里面写的特别的好，已经运行处结果。对仿真很有帮助(Ofdm matlab simulation area is on the article, written by particularly good which has been running at the results. Useful for simulation)

SINUSOIDAL ASYMETRIC PWM MODULATION BASED 3-PHASE INVERTER

用于计算图像纹理特征的灰度共现矩阵。可计算水平，竖直，45，135度方向的共现矩阵。(Used to calculate the image texture gray co-occurrence matrix. Calculate the horizontal, vertical, 45,135 degrees direction co-occurrence matrices.)

基于相量测量的输电线路故障测距新算法 关键词：相量测量；线路参数；故障测距(PMU for Transmission Line Fault Location Algorithm Key words: phase measurement line parameters fault location)

這是一個類神經網路中倒傳遞類神經網路，應用於圖形識別上，可以把兩個不同分類的點，藉由BP找出他的分割線進行區分(This is a type of neural network back-propagation neural network applied to pattern recognition, it can be classified into two different points, by BP to find his distinction between partition lines)

matlab的audio设计，帮助你更好学习 fighting(matlab discripetion)

说明：  一个很好的东东哦 希望大家来看和下栽哈(a good Dongdong Oh, and hope that we look at Kazakhstan crashed)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

最小一乘算法和最小一乘拟合直线。这是最小一乘拟合直线的matlab算法(Least absolute deviation fitting algorithm and the least absolute deviation line. This is the minimum )